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Assessing computational reproducibility in Behavior Research Methods
David A Ellis1, John Towse2, Olivia Brown3
1School of Management, University of Bath, Bath, UK. dae30@bath.ac.uk.
Behavior Research Methods
|September 25, 2024
Summary
Behavior Research Methods (BRM) journal policy changes improved the completeness and reusability of research assets, enhancing computational reproducibility and extending the lifespan of scientific products.
Area of Science:
- Psychological Science
- Behavioral Research Methods
- Computational Reproducibility
Background:
- Psychological science advances through new methods and innovative practices.
- Journals like Behavior Research Methods (BRM) disseminate research assets (data, software, code).
- Research assets often lack computational reproducibility, hindering reuse.
Purpose of the Study:
- To explore how BRM authors and structures influence functional research assets.
- To assess the speed of method/technique reuse and development.
- To determine if BRM policy changes improved functionality and reproducibility.
Main Methods:
- Randomly sampled 204 BRM papers pre- and post-policy changes.
- Researchers assessed asset operational status, completeness, and reusability.
- Analyzed the impact of policy changes on reproducibility over time.
Main Results:
- Improvements observed in all measures of asset functionality.
- Significant increase in asset completeness (d = .37) post-policy change.
- Data sets from surveys/experiments showed greatest gains in completeness and reusability.
Conclusions:
- BRM policy changes positively impacted research asset completeness and reusability.
- Policy changes appear to extend the lifespan of research products.
- Future research and policy should further support computational reproducibility in science.
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